Dataset Dependency of Data-Driven ML Techniques in Pattern Prediction Under Mutual Coupling
Nehir Berk Onat, Ignacio Roldan, Francesco Fioranelli, Alexander G. Yarovoy, Yanki Aslan · 2024
This paper examines how training data affects machine learning-assisted antenna pattern prediction under mutual coupling.For demonstration, a neural network-based approach is used to predict the embedded pattern of a central patch antenna element near randomly distributed patches.It is shown that when the full-wave simulated dataset size is excessively reduced, the high prediction error in the validation set may become a critical issue.Maintaining sufficient accuracy in pattern prediction with a relatively small dataset remains an open challenge.